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ALOS World 3D (AW3D) global DSM generation
ALOS World 3D (AW3D) global DSM generation. -
National Urban Database and Access Portal Tool
National urban database and access portal tool. -
GLOBUS: GLObal Building heights for Urban Studies
A novel Level of Detail-1 (LoD-1) building dataset derived from a Deep Neural Network (DNN) called GLOBUS. -
Multiradar Data Fusion for Respiratory Measurement of Multiple People
Multiradar data fusion for respiratory measurement of multiple people -
Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent...
The dataset used in this paper is a collection of IoT devices with various protocols and networking architectures. -
Exploration Coverage via Curiosity Driven Reinforcement Learning Agents
The dataset used in this paper for automatic exploration and testing of a 3D game scenario. -
Climate protest is a strategic game: Field experimental evidence from Germany
The dataset contains participation data from a field experiment on climate protest, including beliefs about others' participation and participation decisions. -
Open-Source Dataset of 21 Representative Synthesis-Time Bugs and Error Messages
A synthetic dataset of 21 representative synthesis-time bugs and error messages based on the authors' experiences with teaching introductory digital hardware design. -
Nonlinear Sequential Accepts and Rejects
The dataset used in the paper is a stochastic multi-armed bandits problem, where the objective is to find the top M arms in the sense of the expected reward. -
Clinical Dataset
The clinical dataset is a public dataset for medical imaging. -
Reducing Storage in Large-Scale Photo Sharing Services using Recompression
The dataset used in the paper is a large-scale photo sharing service, where images are stored and retrieved. The authors propose a new recompression technique to reduce storage... -
META-SMGO-∆: similarity as a prior in black-box optimization
The dataset Dmeta is constructed by optimizing M functions, that are similar to the one we aim at optimizing. -
Best-scored Random Forest
The dataset used in this paper is a binary classification problem. -
Retail dataset
The dataset is used for retail demand forecasting. -
Power dataset
The dataset is used for power consumption forecasting. -
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
Time series forecasting is a relevant task that is performed in several real-world scenarios such as product sales analysis and prediction of energy demand. -
Baseball Dataset
A comprehensive baseball dataset comprising over 1000 games, including more than 100,000 pitches. -
Docking study for Protein Nsp-12 of SARS-CoV with Betalains and Alfa-Bisabolol
The dataset used for docking study for Protein Nsp-12 of SARS-CoV with Betalains and Alfa-Bisabolol. -
Video Inpainting
The proposed algorithm produces high quality results in varied, complex video inpainting situations, with reduced execution time.